Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning. - Antoine Rivail; Ursula Schmidt-Erfurth; Wolf-Dieter Vogl; Sebastian M. Waldstein; Sophie Riedl; Christoph Grechenig; Zhichao Wu; Hrvoje Bogunovic (PRIME@MICCAI, 2019)

TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes. - Taha Emre; Arunava Chakravarty; Antoine Rivail; Sophie Riedl; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (2), 2022)

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report. - Taha Emre; Marzieh Oghbaie; Arunava Chakravarty; Antoine Rivail; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (OMIA@MICCAI, 2023)

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT. - Taha Emre; Marzieh Oghbaie; Arunava Chakravarty; Antoine Rivail; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2023)

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. - Arunava Chakravarty; Taha Emre; Dmitry A. Lachinov; Antoine Rivail; Hendrik P. N. Scholl; Lars Fritsche; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (5), 2024)

Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations. - Taha Emre; Arunava Chakravarty; Dmitry A. Lachinov; Antoine Rivail; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (12), 2024)

Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency. - Arunava Chakravarty; Taha Emre; Dmitrii A. Lachinov; Antoine Rivail; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MIDL, 2024)

Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT. - Taha Emre; Arunava Chakravarty; Dmitrii A. Lachinov; Antoine Rivail; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2024)

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs. - Taha Emre; Arunava Chakravarty; Antoine Rivail; Dmitry A. Lachinov; Oliver Leingang; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; et al. (IEEE Trans. Medical Imaging, 2024)